Reverse Dependencies of gym
The following projects have a declared dependency on gym:
- RLPack — Implementation of RL Algorithms
- rlprop — Reinforcement Learning agents implemented in pytorch
- rlpy3 — Value-Function-Based Reinforcement-Learning Library for Education and Research: Python3 Fork
- rlrunner — A framework for Reinforcement Learning experimentation and run simulation
- rlschool — RLSchool: Excellent environments for reinforcement Learning benchmarking
- rlskyjo — Multi-Agent Reinforcement Learning Environment for the card game SkyJo, compatible with PettingZoo and RLLIB
- rltime — RLtime is a reinforcement learning library focused on state-of-the-art q-learning algorithms and features
- rltorch — A simple framework for distributed reinforcement learning in PyTorch.
- rltrade-test — Easy to use Reinforcement Library for finance
- rlutils — rlutils: A utility package for implementing reinforcement learning simulations.
- rlzoo — A collection of reinforcement learning algorithms with hierarchical code structure and convenient APIs.
- robo-env — A OpenAI
- robo-gym — robo-gym: an open source toolkit for Distributed Deep Reinforcement Learning on real and simulated robots.
- robolearn — A Robot-Learning package: Robot reinforcement learning.
- robolearn-gym-envs — A python package that contains some OpenAIGym-like robot environments.
- robovat — RoboVat: A unified toolkit for simulated and real-world robotic task environments.
- rock-paper-scissors — A RL environment for rock paper scissors(deterministic) based on openai
- rocketgym — OpenAI Gym for vertical rocket landing. Features full 2D physics engine and works like any other gym.
- rogue-gym — OpenAI gym environment for rogue-gym
- rover-arm — A OpenAI Gym Env for Rover with Arm
- rrt-ml — Rapidly exploring random trees with machine learning
- rsoccer-gym — SSL and VSS robot soccer gym environments
- rware — Multi-Robot Warehouse environment for reinforcement learning
- rwaretest — Multi-Robot Warehouse environment for reinforcement learning
- safelife — Safety benchmarks for reinforcement learning
- sample-factory — High throughput asynchronous reinforcement learning framework
- sasrl-env — Generate protobuf files in python and C++ to be used for remote access to RL environment
- sawyer — gym-dmc
- sc2-env — A StarCraft II bot gym env library over python-sc2
- sc2env — Simple StarCraftII environments for reinforcement learning
- scenario-gym — scenario_gym - a lightweight framework for learning from scenario data.
- scigym — SciGym -- The OpenAI Gym for Science: A platform for your scientific reinforcement learning problem.
- scope-rl — SCOPE-RL: A pipeline for offline reinforcement learning research and applications
- sdriving — Design multi-agent environments and simple reward functions such that social driving behavior emerges
- segar — no summary
- sentinex — Sentinex: A high level interface aimed towards rapid prototyping and intuitive workflow for JAX.
- shaner — for shaping RL agent package.
- sheeprl — High-quality, single file and distributed implementation of Deep Reinforcement Learning algorithms with production-friendly features
- Shimmy — An API conversion tool providing Gymnasium and PettingZoo bindings for popular external reinforcement learning environments.
- ship-env — A OpenAI Gym Env for ship
- sim-web-visualizer — Web based visualizer for simulators
- simglucose — A Type-1 Diabetes Simulator as a Reinforcement Learning Environment in OpenAI gym or rllab (python implementation of UVa/Padova Simulator)
- simulate — HuggingFace community-driven open-source library of simulation environments
- sinergym — The goal of sinergym is to create an environment following OpenAI Gym interface for wrapping simulation engines for building control using deep reinforcement learning.
- single-cartpole-custom-gym-env — OpenAI Gym environment designed for training RL agents to bring CartPole upright and its further balancing.
- singletrader — a package for backtesting and factor analysis
- siste-test — HyperFetch. A tool to optimize and fetch hyperparameters for your reinforcement learning application.
- skrl — Modular and flexible library for reinforcement learning on PyTorch and JAX
- slapstack — An Event Discrete Simulation Framework for Block-Stacking Warehouses.
- slimevolleygym — Slime Volleyball Gym Environment
- SLP — Speech, Language and Multimodal Processing models and utilities in PyTorch
- small-rl-envs — Small reinforcement learning environments
- snake-gym-grid — An implementation on Snake game with grid display
- soccer-twos — A pre-compiled soccer-twos (Unity ML Agents) environment with a nice visualizer.
- social-distancing-sim — no summary
- sokoban-rl — Application of reinforcement learning to the sokoban game
- sorting-gym — OpenAI Gym Environments for Sorting
- sotaai — Stateoftheart AI Official Library
- sparse-pendulum — Open AI gym Pendulum Env with sparse rewards
- spg — Simulator for Reinforcement Learning
- spriteworld — Spriteworld is a python-based reinforcement learning environment consisting of a 2-dimensional arena with objects that can be freely moved.
- stable-baselines — A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.
- starship-landing-gym — A Gym env for rocket landing.
- subm-ql — no summary
- submql — no summary
- sumo-gym — OpenAI-gym like toolkit for developing and comparing reinforcement learning algorithms on SUMO
- supply-depot — Useful python components for research
- surreal — Stanford University Repository for Reinforcement Algorithms
- tail-envs — OpenAI Gym environments produced by Tail-UFPB
- tank-saturdays — Gym environment that will be used in a competition between the members of the Reinforcement Learning track form the 3rd Edition of AI Saturdays Madrid.
- tankwar-env — MultiAgent gym environment for reinforcement learning
- tartrl — reinforcement learning framework
- tartrl-nightly — reinforcement learning framework
- telemoma — A modular and versatile teleoperation system for mobile manipulation
- tella — library for continual reinforcement learning
- temprl — Framework for Reinforcement Learning with Temporal Goals.
- tensor2tensor — Tensor2Tensor
- tensor2tensor-test — Tensor2Tensor
- tensor2tensorManuel — Tensor2TensorManuel
- Tensorflow-ChatBots — ChatBots supporting TensorFlow
- tensorflow-rl — tensorflow-rl: Modular Deep Reinforcement Learning Framework.
- tensorforce — Tensorforce: a TensorFlow library for applied reinforcement learning
- TensorTrade — TensorTrade: A reinforcement learning library for training, evaluating, and deploying robust trading agents.
- tensorwrap — TensorWrap: A high level TensorFlow wrapper for JAX.
- tenvs — no summary
- test-engine — Core library for Seldonian algorithms
- textrl — TextRL - use reinforcement learning to adjust text generation results.
- tf-agents — TF-Agents: A Reinforcement Learning Library for TensorFlow
- tf-agents-nightly — TF-Agents: A Reinforcement Learning Library for TensorFlow
- tf-rbdl — Rigid Body Dynamics Library using Tensorflow.
- tf2rl — Deep Reinforcement Learning for TensorFlow2.0
- tfmpc — An implementation of model-predictive control algorithms using TensorFlow 2
- thormang — A OpenAI Gym Env for thormang
- tictactoe-gym — An OpenAI gym environment for playing Tic Tac Toe
- tinycarlo — 2D car simulation
- tjc-gym — OpenAI Gym environment of Traffic Junction with continuous action space
- tohgym — no summary
- TonyBotV1 — no summary
- torch-gaggle — Gaggle: Genetic Algorithms on the GPU using PyTorch
- torch-sparse-adamw — no summary